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BIMCV-COVID19+
Classification
Medical
|...
License: Unknown

Overview

BIMCV-COVID19 + dataset is a large dataset with chest X-ray images CXR (CR, DX) and computed
tomography (CT) imaging of COVID-19 patients along with their radiographic findings, pathologies,
polymerase chain reaction (PCR), immunoglobulin G ( IgG) and immunoglobulin M (IgM) diagnostic
antibody tests and radiographic reports from Medical Imaging Databank in Valencian Region
Medical Image Bank (BIMCV). The findings are mapped onto standard Unified Medical Language
System (UMLS) terminology and they cover a wide spectrum of thoracic entities, contrasting
with the much more reduced number of entities annotated in previous datasets. Images are
stored in high resolution and entities are localized with anatomical labels in a Medical Imaging
Data Structure (MIDS) format. In addition, 10 images were annotated by a team of expert radiologists
to include semantic segmentation of radiographic findings. Moreover, extensive information
is provided, including the patient's demographic information, type of projection and acquisition
parameters for the imaging study, among others. This first iteration of the database includes
1380 CX, 885 DX and 163 CT studies.

Citation

Please use the following citation when referencing the dataset:

@article{de2020bimcv,
  title={BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients.},
  author={de la Iglesia Vay{\'a}, Maria and Saborit, Jos{\'e} Manuel and Montell, Joaquim Angel
and Pertusa, Antonio and Bustos, Aurelia and Cazorla, Miguel and Galant, Joaquin and Barber,
Xavier and Orozco-Beltr{\'a}n, Domingo and Garc{\'\i}a-Garc{\'\i}a, Francisco and others},
  journal={arXiv preprint arXiv:2006.01174},
  year={2020}
}
Data Summary
Type
Image,
Amount
--
Size
--
Provided by
BIMCV
BIMCV is a bank of images conceived as a repository of knowledge aimed at promoting technological advances in medical imaging and provide technology services coverage to support projects I+D.
| Amount -- | Size --
BIMCV-COVID19+
Classification
Medical
License: Unknown

Overview

BIMCV-COVID19 + dataset is a large dataset with chest X-ray images CXR (CR, DX) and computed
tomography (CT) imaging of COVID-19 patients along with their radiographic findings, pathologies,
polymerase chain reaction (PCR), immunoglobulin G ( IgG) and immunoglobulin M (IgM) diagnostic
antibody tests and radiographic reports from Medical Imaging Databank in Valencian Region
Medical Image Bank (BIMCV). The findings are mapped onto standard Unified Medical Language
System (UMLS) terminology and they cover a wide spectrum of thoracic entities, contrasting
with the much more reduced number of entities annotated in previous datasets. Images are
stored in high resolution and entities are localized with anatomical labels in a Medical Imaging
Data Structure (MIDS) format. In addition, 10 images were annotated by a team of expert radiologists
to include semantic segmentation of radiographic findings. Moreover, extensive information
is provided, including the patient's demographic information, type of projection and acquisition
parameters for the imaging study, among others. This first iteration of the database includes
1380 CX, 885 DX and 163 CT studies.

Citation

Please use the following citation when referencing the dataset:

@article{de2020bimcv,
  title={BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients.},
  author={de la Iglesia Vay{\'a}, Maria and Saborit, Jos{\'e} Manuel and Montell, Joaquim Angel
and Pertusa, Antonio and Bustos, Aurelia and Cazorla, Miguel and Galant, Joaquin and Barber,
Xavier and Orozco-Beltr{\'a}n, Domingo and Garc{\'\i}a-Garc{\'\i}a, Francisco and others},
  journal={arXiv preprint arXiv:2006.01174},
  year={2020}
}
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